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Data Scientist

Square Enix
London England United Kingdom
12 days ago
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Job Summary:

As the video game industry moves towards the Games-as-a-Service model, it becomes crucial to prepare successful marketing plans and strategies to enable the growth of publishers’ player base and optimise player engagement.

Square Enix’s Analytics & Insights department supports the design of these strategies, using data collected from its players and games. Our expanding team consists of skilled and passionate analysts and data scientists working across a wide range of projects for game production, marketing, web, sales and executive teams. Our team’s mission is to enable our stakeholders to make data-driven decisions, ultimately leading to better games through data insights.

We are looking for a curious and adaptable Data Scientist who will leverage a range of data sources to impact user support, in-game and external promotions and to improve our players’ game experience. Such as:

You will be able to confidently use traditional approaches (Statistical testing, Linear regression and mathematical modelling) and distinguish noise and signal, to find actionable insights. Also, they will apply ML approaches to multi-sourced large dataset to improve the customer experience in our acquisition channel, game and eCRM.

You are required to have strong coding skills. You will work on cloud computing environment (Kafka, Beam, Airflow and BigQuery).

We will provide you with a structured development plan and regular reviews to ensure you meet your goals.

Requirements

Key Deliverables:

Key Stakeholders:

Analytics and Insight Department, Senior Management, Game Live Operations

Knowledge & Experience:

Essential:

Competencies:

Proven track record of turning complex business problems into computationally solvable questions.

Practical experience in choosing the right approach according to the problem (being able to choose non-ML approach, simple regression and deep learning)

Skills:

Strong coding ability preferably with SQL, Python or similar which can deliver live solutions.

Familiarity with data science tools (Tensorflow, Scikit-learn) and pipeline design.

Being able to conduct basic supervised and unsupervised methods (linear/logistic regression, decision trees, Random Forests, deep learning or unsupervised problems such as clustering and dimensionality reduction).

Attributes:

You enjoy collaborating with other analysts, data scientists and data engineers to aim at success as a team.

Interpret results from data models and create deliverables that explain the approach and results in simple terms that clients can understand and act on.

Being able to self-manage projects. Prove the business justification of your solutions, create implementation plans and schedules and deliver the robust solution.

Desirable:

Education:

Masters in Data Science, Applied Statistics, Behavioural Economics, Computer Science, Artificial Intelligence, Mathematics, Physics, Engineering or related field.

Experience:

Experience in gaming, retail, banking, advertising, web systems or related field.

Data visualisation experience.

Knowledge:

Understanding of data collection, processing techniques.

Wide knowledge on analytics techniques (Natural language processing, Network analysis, Statistical matching, etc.)

Other:

Commercially minded self-starter with a keen eye for detail

An interest in video games and data analytics

Ability to work under pressure and to deadlines

Continually seeking knowledge and understanding

Understanding of key challenges in our industry

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